Experience

Ardigen

• Poland
• Biotechnology Research
• 100 - 200 Employee

• Data Scientist

  • May 2023 - Present

  • Currently working on a company project focused on using machine learning in immuno-oncology drug discovery, as part of an interdisciplinary team. • Collaborating with immunologists, bioinformaticians, data scientists, and software engineers to implement new features, fix bugs, and write tests. • Training, refactoring, and monitoring machine learning models for improved performance and accuracy. • Developing an AI-based solution to analyze data from High-Content Screening technology and build a deep learning platform for studying phenotypic changes in cells treated with drug candidates. • Involved in the entire life cycle of machine learning algorithms, including data extraction, preprocessing, analysis, model design, implementation, and validation. • Integrating machine learning solutions into an automated platform. • Collaborating with clients to identify their needs, provide consultation on proposed solutions, and deliver progress updates during bi-weekly client meetings. • Accountable for meeting set goals within specified timelines. Show less



Fitech Automation

• Poland
• Automation Machinery Manufacturing
• 1 - 100 Employee

• Artificial Intelligence Specialist

  • Nov 2016 - May 2023

  Main contributions and responsibilities: • Create and develop testing system and Artificial Intelligence based vision algorithms improving the Printed Circuit Board assembling process working with 350 000 tests/month with +99% accuracy. • Working with raw visual data to prepare training and testing data for Machine Learning and Artificial Intelligence algorithms and networks. • Create systems comparing images based on classic vision algorithms (Feature Detection, Feature Matching, K-Means Clustering) that find exact position of a Printed Circuit Board on the image Real-time analysis of test results to improve tests accuracy and preventing errors. • Cooperation with other departments to integrate with company systems. • System implementation at an internal and external clients. • Recruitment and training of new team members. Show less